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#SemanticSegmentation #ComputerVision #AI #Annotation #MachineLearning #Outsourcing #ML #DataAnnotation

Understanding the Role of AI in Semantic Segmentation
https://www.infosearchbpo.com/bpo-news/understanding-the-role-of-ai-in-semantic-segmentation/

Read more about semantic segmentation annotation services at Infosearch.
https://www.infosearchbpo.com/semantic-segmentation-annotation.php

Contact us for semantic segmentation annotation services.
enquiries(@)infosearchbpo(.)com

#annotation #semanticSegmentation #semanticSegmentationAnnotation #AnnotationServices

Functional stay-green supports complete grain filling in wheat genotypes, but must be carefully distinguished from cosmetic variants. Image-based monitoring of leaf senescence and canopy temperature dynamics can differentiate between ideotypic and cosmetic stay-green in high-yielding environments. 

https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2024.1335037/full

#Thermography, #StayGreen, #Wheat, #FieldPhenomics, #SpikeDevelopment, #ShadingStress, #SourceSinkRatio #SinkStrength #SemanticSegmentation

能登半島地震の建物被害分布を自動で出す方法
https://qiita.com/mkunu/items/b7b33deff174c7127ab4?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #Python #CNN #国土地理院 #SemanticSegmentation

I am off-work today, but I am taking some time reflecting on somewhat boring (annoying?) dilemmas from work.

1) I don't like something about U-Net shaped neural networks, which are great starting points for #segmentation in #medicalimaging . In general, I think that the encoder should do most of the semantic work (see SAM from Meta AI). These networks usually have 1-2x parameters/computations on the decoder hand. Basically they operate on downsampled images then need upsampled outputs (U shape, resolution goes down, then up, and stages are "parallel").
What do?
(Context: I process 3D brain scans, much numbers and compute!)

2) I come back to similarity, proximity and distance measures, metric and semi-metric. Who's farthest from data point A? Data point B with ~-1 correlation, or data point C with ~0 correlation? If you choose to put C the farthest, how do you maintain the distinction of sign? I want point D (~1 correlation) and point B close to A, but in "different" ways ???
(Context: I cluster health records, sometimes negative correlations do not mean much, sometimes they do)

#deeplearning #unet #semanticsegmentation #machinelearning

My first Kaggle notebook on semantic segmentation with U-Net
https://www.kaggle.com/code/muhammadwasee/u-net-segmentation

It is also available on GitHub
https://github.com/hwaseem04/unet along with notes for the U-Net paper

Special thanks to @SebRaschka
for his amazing ML with PyTorch book for building my PyTorch foundations

#PyTorch #UNet #SemanticSegmentation #carvana #kaggle #github